Successful candidates must have a Ph.D. in Computer Science or related field, be able to teach graduate and undergraduate courses, perform high quality research as evidenced by scholarly publications and develop competitive research grant proposals with the intention of obtaining extramural funding. Service duties include program building, as well as commitment to extra-curricular activities. Services to the department, college, and university are expected.
Candidates should demonstrate excellence in teaching and research achievement, successful record of obtaining external funding, effective leadership in building and guiding research team efforts at the university or national level, and capability of designing and leading multidisciplinary projects. Areas of interest include, but not limited to Quantum Computing information systems and biosensors, Big Data and Data Sciences, Machine Learning and Artificial Intelligence, Cyber-Physical Systems. Exceptional candidates in other research areas will also be considered.
Candidates who have very strong records of scholarship supported by extramural funding and who have the proven capacity or clear potential to bring externally sponsored research to Texas Tech University are encouraged to apply. A demonstrated and ongoing commitment to serving diverse student populations and first-generation students is highly desirable.
Texas Tech University recently surpassed the Hispanic student population threshold necessary for designation as a Hispanic Serving Institution (HSI).
Texas Tech University
Academic degree as defined by the academic unit and as appropriate for the position held. Demonstrated record of effectiveness as a teacher, a record of peer reviewed publication and/or peer-reviewed creative activity which has contributed to the discipline or field of study, to the candidate’s intellectual and artistic development, and to the quality of the academic enterprise; a record of professional service appropriate to the discipline; promise of growth in teaching and research or artistic and creative activity.
Must have a Ph.D. in Computer Science or related field. Demonstrated evidence of teaching excellence, excellent records of peer-reviewed high quality publications and/or innovations contributed to the discipline, to the candidate’s intellectual development, and to the quality of the academic enterprise; a record of professional services appropriate to the discipline.
We are looking for outstanding individuals in Quantum Computing information systems and biosensors. However, we welcome applicants in all areas of computer science with track records of research excellence and potential to become leaders in research and education. Associate/Full Professor candidates should demonstrate leadership in building multidisciplinary research teams at the university or national level as well as obtaining external research funding.
Participation in professional societies, community outreach, and local student activities are included.
Does this position work in a research laboratory?
Cover Letter, Professional/Personal References, Recommendation/Referral, Research Statement, Resume / CV, Teaching Philosophy
Other Documents Supporting Qualifications
Compensation is commensurate upon the qualifications of the individual selected and budgetary guidelines of the hiring department, as well as, the institutional pay plan. For additional information, please reference the institutional pay plan on the Human Resources webpage.
Up to 25%
As an Equal Employment Opportunity/Affirmative Action employer, Texas Tech University is dedicated to the goal of building a culturally diverse faculty committed to teaching and working in a multicultural environment. We actively encourage applications from all those who can contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community at Texas Tech University. The university does not discriminate on the basis of an applicant’s race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information or status as a protected veteran. Texas Tech welcomes consideration of dual career and professional couple accommodations.